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Yixin Zha

2 accepted papers

2025

Exploring Semantic Masked Autoencoder for Self-supervised Point Cloud Understanding

IJCAI 2025

Point cloud understanding aims to acquire robust and general feature representations from unlabeled data. Masked point modeling-based methods have recently shown significant performance across various downstream tasks. These pre-training methods rely on random masking strategies to establish the per

Cited by 0SourcePDFScholar
2025

Exploring Vision Semantic Prompt for Efficient Point Cloud Understanding

ICML 2025poster

A series of pre-trained models have demonstrated promising results in point cloud understanding tasks and are widely applied to downstream tasks through fine-tuning. However, full fine-tuning leads to the forgetting of pretrained knowledge and substantial storage costs on edge devices. To address th…

Cited by 0SourcePDFScholar